Nonlinear fatigue life prediction models based on material damage state correction

2021 ◽  
Vol 35 (12) ◽  
pp. 5477-5487
Author(s):  
Bowen Wang ◽  
Qiwen Xue
Keyword(s):  
Fatigue Life ◽  
Life Prediction ◽  
Prediction Models ◽  
Fatigue Life Prediction ◽  
Material Damage ◽  
Damage State

Testing and assessment of fatigue life prediction models for Indian PHWRs piping material under multi-axial load cycling

2016 ◽  
Vol 85 ◽  
pp. 98-113 ◽  
Author(s):  
Punit Arora ◽  
Suneel K. Gupta ◽  
V. Bhasin ◽  
R.K. Singh ◽  
S. Sivaprasad ◽  
...  
Keyword(s):  
Fatigue Life ◽  
Axial Load ◽  
Life Prediction ◽  
Prediction Models ◽  
Fatigue Life Prediction ◽  
Load Cycling

Review on fatigue life prediction models of welded joint

2020 ◽  
Vol 36 (3) ◽  
pp. 701-726 ◽  
Author(s):  
Guozheng Kang ◽  
Huiliang Luo
Keyword(s):  
Fatigue Life ◽  
Life Prediction ◽  
Prediction Models ◽  
Welded Joint ◽  
Fatigue Life Prediction

A State-of-the-Art Review of Fatigue Life Prediction Models for Solder Joint

2019 ◽  
Vol 141 (4) ◽  
Author(s):  
Sinan Su ◽  
Francy John Akkara ◽  
Ravinder Thaper ◽  
Atif Alkhazali ◽  
Mohammad Hamasha ◽  
...  
Keyword(s):  
Fatigue Life ◽  
Life Prediction ◽  
Prediction Models ◽  
Solder Joints ◽  
State Of The Art ◽  
Electronic Devices ◽  
Creep Damage ◽  
Fatigue Life Prediction ◽  
Factors Affecting ◽  
Causes Of Failure

Fatigue failure of solder joints is one of the major causes of failure in electronic devices. Fatigue life prediction models of solder joints were first put forward in the early 1960s, and since then, numbers of methods were used to model the fatigue mechanism of solder joints. In this article, the majority fatigue life models are summarized, with emphasis on the latest developments in the fatigue life prediction methods. All the models reviewed are grouped into four categories based on the factors affecting the fatigue life of solder joints, which are: plastic strain-based fatigue models, creep damage-based fatigue models, energy-based fatigue models, and damage accumulation-based fatigue models. The models that do not fit any of the above categories are grouped into “other models.” Applications and potential limitations for those models are also discussed.

A through process modeling using multi-assistant software applied to radial fatigue life predication of a 356-T6 wheels

2020 ◽  
Author(s):  
Yongchuan Duan ◽  
Fangfang Zhang ◽  
Le Tian ◽  
Yingping Guan ◽  
Jinhua Hu
Keyword(s):  
Aluminum Alloy ◽  
Fatigue Life ◽  
Prediction Model ◽  
Life Prediction ◽  
Optimization Design ◽  
Prediction Models ◽  
Fatigue Life Prediction ◽  
Tetrahedral Mesh ◽  
Shrinkage Cavity ◽  
Life Prediction Model

Abstract In order to solve the problem of isolated design in multi-process using multi-assistant software, a through-software radial fatigue life prediction model was established, the effects of shrinkage cavity, SDAS and mean stress on fatigue life were considered. The casting process of the aluminum alloy wheel was simulated based on ProCast, and the data of SDAS and porosity of different parts were predicted based on the solidification process; The data mapping algorithm between tetrahedral mesh elements was developed to realize the unidirectional transformation of microcosmic data from a cast model to a static mechanical model, the radial loading mechanical analysis model of a wheel containing microcosmic information was established; The fatigue life prediction model was established by Fesafe based on the specific mechanical and fatigue parameters of each node. Based on the self-developed TCD software, the integrated coupling method of the three software prediction models was realized. The application of this method on the virtual fatigue prediction experiment of unidirectional tensile specimen reduce the result dispersion between virtual and physical experiment, and the predicted life result error is reduced from 51% to 16%. The proposed method lays a solid foundation of the optimization design and lightweight design of aluminum alloy wheels.

On the estimation and optimization capabilities of the fatigue life prediction models in composite laminates

2018 ◽  
Vol 37 (21) ◽  
pp. 1304-1321 ◽  
Author(s):  
H Arda Deveci ◽  
H Seçil Artem
Keyword(s):  
Fatigue Life ◽  
Hybrid Algorithm ◽  
Life Prediction ◽  
Prediction Models ◽  
Pattern Search ◽  
Fatigue Life Prediction ◽  
Superior Performance ◽  
Computational Time ◽  
Particle Swarm Algorithm ◽  
Peek Composite

In this study, the estimation and optimization capabilities of the multiaxial fatigue life prediction models, namely, Failure Tensor Polynomial in Fatigue, Fawaz–Ellyin, Sims–Brogdon and Shokrieh–Taheri are investigated comparatively. Fatigue life predictions are obtained for multidirectional graphite/epoxy, glass/epoxy, carbon/epoxy and carbon/PEEK composite laminate data taken from the literature. The prediction study shows that the models can predict the fatigue behavior of the multidirectional laminates at different degrees of proximity. In the optimization, a hybrid algorithm combining particle swarm algorithm and generalized pattern search algorithm is used to search the optimum stacking sequence designs of the laminated composites for maximum fatigue life. The hybrid algorithm shows superior performance in terms of computational time and finding improved global optima compared to the best results presented in the literature. After the capability of the models and the reliability of the algorithm are revealed, several lay-up design problems involving different cyclic loading scenarios are solved. The results indicate that the reliability of the optimization may considerably change according to the used model even if the model may yield reasonable prediction results.

Study on Low-Cycle Fatigue Life of Base Metal of the Shock Absorber

2014 ◽  
Vol 936 ◽  
pp. 1361-1365
Author(s):  
Ai Li Li ◽  
Ri Gao ◽  
Ming De Sun ◽  
Xi Meng
Keyword(s):  
Fatigue Life ◽  
Base Metal ◽  
Life Prediction ◽  
Shock Absorber ◽  
Prediction Models ◽  
Low Cycle Fatigue ◽  
Engineering Application ◽  
Fatigue Life Prediction ◽  
Strain Effect ◽  
Cycle Fatigue

In this paper, by experiments on the low-cycle fatigue life of groups of base metal test specimens under constant total strain control, the number of cycles to fracture failure are obtained. The measured S-N curve of base metal is established and the fitted formulas based on three low cycle fatigue life prediction models are caculated according to the test data. The relationship between the low-cycle fatigue life and strain amplitude are concluded. The results of observation show that the elastic strain effect can be negligible in the range of strain amplitudes used for the study of low-cycle fatigue (0.01-0.08). In addition, the calculation suggests that the three-parameter power function is suitable for the low-cycle fatigue life prediction of the base metal because its prediction accuracy is higher than other methods. The research provides technology supports for life prediction and engineering application of the shock absorber.

The Ability of Current Models for Fatigue Life Prediction of Shot Peened Components

2009 ◽  
Vol 417-418 ◽  
pp. 901-904 ◽  
Author(s):  
Ricardo A. Cláudio ◽  
José M. Silva ◽  
Carlos M. Branco ◽  
Jim Byrne
Keyword(s):  
Residual Stress ◽  
Fatigue Life ◽  
Fracture Mechanics ◽  
Shot Peening ◽  
Life Prediction ◽  
Compressive Residual Stress ◽  
Prediction Models ◽  
Critical Distance ◽  
Fatigue Life Prediction ◽  
Distance Methods

It is well known that shot peening has a marked benefit on fatigue life for the majority of applications. This effect is attributed mainly due to the compressive residual stress state at the component’s surface due to shot peening. The present paper evaluates the ability of several fatigue life prediction models, commonly used for general analyses, to predict the behaviour of components with compressive residual stress due to shot peening. Advanced elastic-plastic finite element analyses were carried out in order to obtain stress, strain, strain energy and fracture mechanics parameters for cracks within a compressive residual stress field. With these results several total fatigue life prediction models (including critical distance methods) and fracture mechanics based models were applied in order to predict fatigue life. Fatigue life predictions were compared with several experimental fatigue tests carried out on specimens, representative of a critical region of a compressor disc in a gas turbine aero engine. The results obtained showed that total fatigue life methods, even if combined with critical distance methods, give conservative results when shot peening is considered. Fatigue life was successfully predicted using the method proposed by Cameron and Smith, by adding initiation life to crack propagation life. This last method was also successfully applied for the prediction of non-propagating cracks that were observed during the experimental tests.

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